Daisuke Maeda
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Dermatology top 5%
Papers in
-
- Advanced MEMS and NEMS Technologies 8
- Sensorless Control of Electric Motors 7
- Photonic and Optical Devices 5
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- Porphyrin and Phthalocyanine Chemistry 7
- Co-authors
- Masayuki Seki (5 shared papers)Takemi Enomoto (5 shared papers)Srinivasa Murty Srinivasula (1 shared paper)Yasuyuki Imai (1 shared paper)Yasunobu Hirata (1 shared paper)Hirotatsu Kojima (1 shared paper)Tatsuro Irimura (1 shared paper)Hiroshi Nagoshi (1 shared paper)
- Journals
- Japanese Journal of Applied Physics (5 papers)IEEJ Transactions on Industry Applications (4 papers)Applied Physics Letters (3 papers)DNA repair (3 papers)ISIJ International (2 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Daisuke Maeda
117 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 733
- Dermatology 75
- Physiology 223
- Neurology 112
- Oncology 138
Countries citing papers authored by Daisuke Maeda
This map shows the geographic impact of Daisuke Maeda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daisuke Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Maeda more than expected).
Fields of papers citing papers by Daisuke Maeda
This network shows the impact of papers produced by Daisuke Maeda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daisuke Maeda. The network helps show where Daisuke Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 348 | |
| 2 | 2006 | 238 | |
| 3 | 2011 | 200 | |
| 4 | 2006 | 165 | |
| 5 | 2015 | 106 | |
| 6 | 2002 | 101 | |
| 7 | 2015 | 81 | |
| 8 | 2016 | 67 | |
| 9 | 2019 | 62 | |
| 10 | 2015 | 57 | |
| 11 | 2013 | 56 | |
| 12 | 2004 | 52 | |
| 13 | 2013 | 48 | |
| 14 | 2004 | 46 | |
| 15 | 2014 | 44 | |
| 16 | 2015 | 38 | |
| 17 | 2015 | 38 | |
| 18 | 2018 | 37 | |
| 19 | 2008 | 36 | |
| 20 | 2015 | 36 |
About Daisuke Maeda
Daisuke Maeda is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Surgery and Atomic and Molecular Physics, and Optics, having authored 137 papers that have together received 2.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Advanced MEMS and NEMS Technologies (8 papers), Sensorless Control of Electric Motors (7 papers), Porphyrin and Phthalocyanine Chemistry (7 papers), Microstructure and Mechanical Properties of Steels (6 papers), Muscle activation and electromyography studies (5 papers), Photonic and Optical Devices (5 papers) and Photorefractive and Nonlinear Optics (4 papers). The work is most often cited by research in Molecular Biology (733 citations), Dermatology (75 citations), Physiology (223 citations), Neurology (112 citations) and Oncology (138 citations). Daisuke Maeda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masayuki Seki, Takemi Enomoto, Srinivasa Murty Srinivasula, Yasuyuki Imai, Yasunobu Hirata, Hirotatsu Kojima, Tatsuro Irimura, Hiroshi Nagoshi, Tetsuo Nagano and Kazuya Kikuchi. Their work appears in journals such as Japanese Journal of Applied Physics, IEEJ Transactions on Industry Applications, Applied Physics Letters, DNA repair and ISIJ International.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.